CKMR: A general overview
Paul B. Conn
The Wildlife Society CKMR Workshop, Sunday November 6, 2022
Paul Conn– Research statistician with the Marine Mammal Laboratory at NOAA Alaska Fisheries Science Center.
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Eric Anderson– Research geneticist at NOAA’s Southwest Fisheries Science Center.
Other acknowledgments: Mark Bravington (CSIRO); Brian Taras, Lori Quakenbush (ADF&G)
8:00 - 8:45 Close-kin mark-recapture: An overview (P. Conn)
8:45 - 9:30 An introduction to genetic data and inheritance (E. Anderson)
9:30 - 9:45 Break
9:45 - 10:30 Statistical inference for CKMR abundance estimation (P. Conn)
10:30 - 11:15 Kin finding (E. Anderson)
11:15 - 12:00 Designing a CKMR study
12:00 - 1:00 Lunch
1:00 - 5:00 R/TMB labs (full day participants only)1
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1 You should have followed “Setting up your computer” instructions in the workshop book!
The basic idea of how CKMR works
Types of CKMR models and their assumptions
Strengths and limitations of CKMR for wildlife monitoring and management
Basic ideas on how to design a CKMR study
For full day participants, some ideas of how to code things up
We don’t expect anyone to be a CKMR expert after taking this workshop. There are a lot of levels of expertise required for successful CKMR implentations (including ecology, genetics, and statistics) - there are only a few people on earth that are an expert in all of these!!!
Slides for morning lectures: Lecture 1 (intro) https://eriqande.github.io/tws-ckmr-2022/slides/paul-talk-1.Rmd.htm
“Book” for afternoon labs: https://eriqande.github.io/tws-ckmr-2022/
General workshop github repository: https://github.com/eriqande/tws-ckmr-2022
A CKMR website w/ more examples: https://closekin.github.io/
Sample occasion 1: mark \(n\) animals (blue) out of a population of \(N\) animals